cv

Basics

Name Madan Baduwal
Label Machine Learning Software Engineer
Email madanbaduwal100@gmail.com
Phone (432) 3161183
Summary Machine learning Software engineer with 7+ years of experience in AI and Software Engineering.

Education

  • 2023.01 - 2024.12

    Texas, USA

    Masters
    University Of Texas Permian Basin
    Machine Learning
    • Analysis of Algorithm
    • Distributed System
    • Distributed Database Systems
    • Advanced Web Development
    • Computer Network and Security
    • Contract Study(Brain Tumor Detection)
  • 2015.08 - 2019.05

    Kathmandu, Nepal

    Bachelors
    Tribhuvan University, Institute of Engineering
    Computer Engineering
    • Data Structures and Algorithms
    • Artificial Intelligence
    • Image Processing & Pattern Recognition
    • Big Data Technologies
    • Software Engineering
    • Probability and Statistics
    • Linear Algebra
    • Computer Organization & Architecture
    • Microprocessor
    • Computer Network
    • Operating System
    • C
    • C++

Work

  • 2022.11 - 2023.02
    Sr.Machine Learning Engineer
    Matrice.ai
    • Designed and developed a no-code data-centric AI platform for building and deploying ML apps, reducing user deployment time by 40% and development costs by 80% using Pytorch, React, Django, and AWS technologies.
  • 2022.05 - 2022.11
    Sr.Machine Learning Engineer
    BP Eye Foundation
    • Optimized and automated semantic segmentation and detection (accuracy: 85%) for otitis media Otoscopy images of the tympanic membrane, driving $100k of revenue annually by increasing the doctor-patient ratio by 1.5x.
    • Deployed the app as a SaaS product for 5+ hospitals, leveraging Pytorch, Django, Dell EMC servers, and CI/CD.
  • 2021.01 - 2021.12
    Computer Vision Engineer(R & D)
    National Innovation Center
    • Led & collaborated with mechanical, electrical, and electronic hardware teams to deploy computer vision tasks in robots, resulting in the creation of initial prototypes for waiter and service robots within a span of 9 months.
    • Achieved 60% inference acceleration on computer vision tasks integrating into robots using quantization techniques and hardware-software accelerators like Google Coral TPU, NVIDIA J.Nano, Raspberry Pi., and Microsoft Azure.
    • Implemented and fine-tuned computer vision tasks, including object detection, segmentation, tracking, face recog-nition, and depth estimation, using PyTorch and the Intel depth camera D435i, covering the entire vision pipeline.
    • Improved pathfinding algorithms (A* and Dijkstra), leading to a 20% reduction in execution time and faster NAV.
  • 2020.02 - 2022.02
    Machine Learning Engineer
    Fusemachines
    • Led a 10-person team to develop an AI-enabled student progress tracking platform (fuseclassroom.com), doubling the teacher-student ratio to 1:30. Currently operational in ∼60 Nepalese colleges with 20k active students.
    • Orchestrated a phishing detection engine for over 10 clients under WMC Global, improving accuracy from 85% to 90% by selecting the optimal number of clusters using the silhouette score, detecting millions of URLs per day.
    • Conducted over 20+ trainings, workshops, knowledge-sharing, and paper reading sessions on mathematics and machine learning. Empowered ML skills of ∼5k students by collaborating with schools, colleges, and universities.
    • Enriched AI affordable courses by researching, designing, reviewing, and refining content, including reading material, quizzes, assignments, and projects for Fusemachines AI Education Programs, specifically focusing on the ”Micro Degree in Artificial Intelligence, Machine Learning, Computer Vision, and Natural Language Processing.”
  • 2019.1 - 2020.02
    Software Engineer Intern
    Omnibluetech
    • Designed and developed Django REST APIs and AWS-based background workers capable of managing millions of daily requests, facilitating third-party entities in extracting data from unstructured documents in a scalable fashion.
    • Implemented web applications using front-end and back-end technologies: HTML5, CSS, Javascript, and Django for retail stores and consultancies, resulting in a 15% increase in revenue for the company in the first quarter.

Research

  • 2023.01 - Ong.
    Graduate Research Assistant
    University Of Texas Permian Basin
    • ptimizing and fine-tuning advanced multimodal models, including OpenAI’s CLIP, MMBT, VL-BERT, ViLBERT, and LXMERT.
    • Collected a well-annotated multimodal dataset (text and image) that meets university requirements.

Publications

Skills

Computer Science
Languages: Python3, C, C++, Java, JavaScript,C#, Go ,CUDA, CMake, Bash, LaTeX, HTML/CSS, SQL
Python Packages : Numpy, Theano, Pandas, Matplotlib, Seaborn, Scikit-learn, XGBoost, Pytorch, Tensorflow, Hugging Face, Mlflow, Caffe, Opencv, NLTK, Scipy, Regex, BeautifulSoup, TVM, GLOW, XLA
Big Data and Databases : PostgreSQL, MySQL, MongoDB, Snowflake, Spark, Hadoop, Redshift, Databrick, Kafka, Tableau, ETL
Frameworks: Django, Fastapi, Flask, React Native, Node.js, React, ANgular, Spring Framework
Servers: AWS, Microservices,Dell EMC,
Robotics: Robot Operating System(ROS), Gazebo, Arduino, R.pi, C.TPU, J.Nano
Miscellaneous : Jupyter Notebook, Linux, Git, Github, Docker, Kubernetes, CI/CD,Jenkins

Volunteer

  • 2023.03 - 2023.09
    Orientation Team Leader
    University Of Texas Permian Basin
    • Successfully led a team of orientation volunteers to ensure smooth execution of university orientation programs, demonstrating strong leadership skills and ability to delegate tasks effectively.
  • 2023.03 - ONG.
    Undergraduate Student Assistant Editor
    University Of Texas Permian Basin
    • Assisting in the editing and proofreading of the UTPB Journal of Undergraduate Research, Volume 5, 2023, and UG Research Book 2024 for publication under the direction of Prof.Rebecca Babcock and Prof.Mohamed K Zobaa.

Awards

  • 2023.01.16
    Graduate research assistant
    University Of Texas Permian Basin
    Graduate research assistantships scholarship( ̃$5,000)
  • 2014.11.01
    Merit-based scholarship
    Tribhuvan University
    $4,000 worth scholarship awarded for securing the highest GPA in the Computer Engineering cohort (3/7 semesters).
  • 2018.03.01
    Hackathon Runner-up
    Kathmandu University
    1st runner-up of hackathon organizes by Kathmandu University, kavre.The prize was worth $1,000.
  • 2019.07.01
    Best Logic Code
    Sagarmatha Engineering College
    Best Logic Code winner organized by Sagarmatha engineering college.The prize was worth $600.
  • 2017.01.01
    Best Idea Winner
    antipur engineering college
    Best idea winner of the Exhibition organized by Kantipur engineering college and sponsored by Neosphere. Neosphere offered 6 month Ethical Hacking course, which was nearly worth $ 200

Certificates

Effective Client Communication
Fusemachines 2020-06-01
Sequence Models
Coursera 2020-02-01
Neural Networks and Deep Learning
Coursera 2020-01-14
Certified Ethical Hacking(CEH)
Neosphere 2019-08-01

Extra-activities

Computer Science
Lite Exhibition Participant, Kantipur Engineering College, 2015,2016,2017,2018
Himalayan Exhibition (HEx) Participant, Himalayan College of Engineering, 2017
AI Workshop Participant , MPercept Technology Pvt , 2019
Data Science Workshop Participant, F1Soft International Pvt. Ltd., 2019